• PhasAGE Training School 3 Booklet
  • Contact
  • 1 Welcome
    • 1.1 Target audience and requirements
    • 1.2 Instructors and speakers
    • 1.3 Organizing committee
  • 2 About PhasAGE
  • 3 Participation and technicals
    • 3.1 Registration
    • 3.2 Registration fee
      • 3.2.1 Refund policy
      • 3.2.2 Cancellation policy
    • 3.3 Notice of filming and photography
    • 3.4 Badge
    • 3.5 Internet and computer access
    • 3.6 Registration desk
    • 3.7 COVID19 preventive measures
  • 4 Programme
    • 12 September 2022
    • 13 September 2022
    • 14 September 2022
    • 15 September 2022
    • 16 September 2022
  • 5 Venue
    • 5.1 Location
    • 5.2 Directions
    • 5.3 Recommended hotel
  • 6 Recommended publications and protocols
  • 7 Acknowledgements and funding
    • 7.1 PhasAGE initiative
  • Published with bookdown

Barcelona Protein Aggregation Training School

6 Recommended publications and protocols

  1. Jordi Pujols, Valentín Iglesias, Jaime Santos, Aleksander Kuriata, Sebastian Kmiecik, Salvador Ventura, A3D 2.0 Update for the Prediction and Optimization of Protein Solubility, Methods in Molecular Biology,Insoluble Proteins 2022 (doi: 10.1007/978-1-0716-1859-2_3).

  2. Jaime Santos, Pablo Gracia, Susanna Navarro, Samuel Peña-Díaz, Jordi Pujols, Nunilo Cremades, Irantzu Pallarès, Salvador Ventura, α-Helical peptidic scaffolds to target α-synuclein toxic species with nanomolar affinity, Nature Communications 2021 (doi: 10.1038/s41467-021-24039-2).

  3. Jordi Pujols, Samuel Peña-Díaz, Irantzu Pallarès, Salvador Ventura, Chemical Chaperones as Novel Drugs for Parkinson’s Disease, Trends in Molecular Medicine 2020 (doi: 10.1016/j.molmed.2020.01.005).

  4. Jaime Santos, Jordi Pujols, Irantzu Pallarès, Valentín Iglesias, Salvador Ventura, Computational prediction of protein aggregation: Advances in proteomics, conformation-specific algorithms and biotechnological applications, Computational and Structural Biotechnology Journal 2020 (doi: 10.1016/j.csbj.2020.05.026).

  5. M. Rosario Fernández, Irantzu Pallarès, Valentín Iglesias, Jaime Santos, Salvador Ventura, Formation of Cross-Beta Supersecondary Structure by Soft-Amyloid Cores: Strategies for Their Prediction and Characterization, Methods in Molecular Biology,Protein Supersecondary Structures 2019 (doi: 10.1007/978-1-4939-9161-7_12).

  6. Aleksander Kuriata, Valentin Iglesias, Jordi Pujols, Mateusz Kurcinski, Sebastian Kmiecik, Salvador Ventura, Aggrescan3D (A3D) 2.0: prediction and engineering of protein solubility, Nucleic Acids Research 2019 (doi: 10.1093/nar/gkz321).

  7. Aleksander Kuriata, Valentin Iglesias, Mateusz Kurcinski, Salvador Ventura, Sebastian Kmiecik, Aggrescan3D standalone package for structure-based prediction of protein aggregation properties, Bioinformatics 2019 (doi: 10.1093/bioinformatics/btz143).

  8. Jordi Pujols, Samuel Peña-Díaz, Diana F. Lázaro, Francesca Peccati, Francisca Pinheiro, Danilo González, Anita Carija, Susanna Navarro, María Conde-Giménez, Jesús García, Salvador Guardiola, Ernest Giralt, Xavier Salvatella, Javier Sancho, Mariona Sodupe, Tiago Fleming Outeiro, Esther Dalfó, Salvador Ventura, Small molecule inhibits α-synuclein aggregation, disrupts amyloid fibrils, and prevents degeneration of dopaminergic neurons, Proceedings of the National Academy of Sciences 2018 (doi: 10.1073/pnas.1804198115).

  9. Jordi Pujols, Samuel Peña-Díaz, María Conde-Giménez, Francisca Pinheiro, Susanna Navarro, Javier Sancho, Salvador Ventura, High-Throughput Screening Methodology to Identify Alpha-Synuclein Aggregation Inhibitors, International Journal of Molecular Sciences 2017 (doi: 10.3390/ijms18030478).


This work is supported by funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 952334.

The content of this document was produced with the financial support of the European Union. It only represents the views of the authors and cannot be considered to reflect the views of the European Commission, which is free of any responsibility for the use of the information contained herein.
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